Standout Papers

A review on reinforcement learning algorithms and applications in supply chain management 2022 2026 2023 2024124
  1. A review on reinforcement learning algorithms and applications in supply chain management (2022)
    Ilya Jackson, Marcel Müller et al. International Journal of Production Research

Immediate Impact

1 from Science/Nature 42 standout
Sub-graph 1 of 16

Citing Papers

Alliances and digital transformation are crucial for benefiting from dynamic supply chain capabilities during times of crisis: A multi-method study
2024 Standout
Artificial Intelligence in manufacturing: State of the art, perspectives, and future directions
2024 Standout
2 intermediate papers

Works of Marcel Müller being referenced

A review on reinforcement learning algorithms and applications in supply chain management
2022 Standout
Integration of Deep Reinforcement Learning and Discrete-Event Simulation for Real-Time Scheduling of a Flexible Job Shop Production
2020

Author Peers

Author Last Decade Papers Cites
Marcel Müller 161 57 47 87 20 325
Ashok Kumar 155 46 11 45 21 316
Jen‐Ming Chen 71 54 18 180 22 346
Mohamed Ahmed 58 25 80 39 15 287
Bernard Hon 154 60 29 26 18 341
Patrick Link 119 87 10 24 11 350
Chunghun Ha 71 49 27 33 26 330
Christian Weber 222 61 31 38 26 367
Chunquan Li 127 48 6 42 38 360
Arvind Rajan 59 66 8 146 21 348
Shahid Maqsood 90 59 4 42 26 277

All Works

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2026